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copilot/legacy/spikes/graphs-matrix/epoch/client/matrix.js
Sérgio Ramos 8295bd6882 chore: initial lerna setup
this shall be a progressive process
2017-05-25 10:56:50 +01:00

96 lines
1.7 KiB
JavaScript

const React = require('react');
const buildArray = require('build-array');
const ReactRedux = require('react-redux');
const Epoch = require('./epoch');
const actions = require('./actions');
const {
connect
} = ReactRedux;
const {
subscribe,
unsubscribe
} = actions;
const mapStateToProps = (state, ownProps) => {
return {
data: state[ownProps.id]
};
};
const mapDispatchToProps = (dispatch, ownProps) => {
return {
subscribe: () => {
return dispatch(subscribe(ownProps.id));
},
unsubscribe: () => {
return unsubscribe(ownProps.id);
}
}
};
const Graph = connect(
mapStateToProps,
mapDispatchToProps,
)(React.createClass({
componentWillMount: function() {
this.props.subscribe();
},
componentWillUnmount: function() {
this.props.unsubscribe();
},
render: function() {
const {
data = []
} = this.props;
const median = data.reduce((sum, v) => (sum + v.cpu), 0) / data.length;
const bg = median > 50
? 'rgba(205, 54, 54, 0.3)'
: 'rgba(54, 74, 205, 0.3)';
const shadow = median > 50
? 'inset 0 1px 0 0 rgba(248, 51, 51, 0.5)'
: 'inset 0 1px 0 0 rgba(54, 73, 205, 0.5)';
return (
<Epoch
data={this.props.data}
bg={bg}
shadow={shadow}
median={median}
/>
);
}
}));
module.exports = ({
x,
y
}) => {
const m = buildArray(y).map((v, i) => {
const m = buildArray(x).map((v, y) => {
const id = `${i}${y}`;
return (
<div className={`col-xs-${12/x}`}>
<Graph key={id} id={id} />
</div>
);
});
return (
<div className='row'>
{m}
</div>
);
});
return (
<div>
{m}
</div>
);
};